Spring 2018  |  SOC 3412 Section 001: Social Networking: Theories and Methods (67265)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3412H Section 001
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Mon, Wed 09:45AM - 11:00AM
UMTC, West Bank
Blegen Hall 255
Enrollment Status:
Open (73 of 78 seats filled)
Also Offered:
Course Catalog Description:
Network analysis spans a diverse range of phenomena from ego-centric ties, to small work-team sociograms, to organizational relations, to trade and military alliances among nation states. This course introduces undergraduate students to theories and methods for studying social networks, the ties connecting people, groups, and organizations. Topics include friendship, communication, small group, health, sexual and romantic, corporate, social movement, public policy, innovation diffusion, criminal and terrorist, and Internet networks.
Class Notes:
30 seats reserved for sociology BS majors through 12/4/2017 Click this link for more detailed course information: http://classinfo.umn.edu/?almquist+SOC3412+Spring2018
Class Description:
SOC 3412 is an introduction to Social Network Analysis (SNA) and will cover the theory of SNA and its applications to real world phenomena. This course will cover basic methods for collecting, modeling and visualizing human social connections, including applications to social media, public health and politics. The course is divided into five parts, beginning with network thinking and ending with an example of how social networks influence voting behavior. Over the course of 15 weeks students will be exposed to how to think relationally, how to visualize social networks, how to collect data on social networks, how to measure and find signal in social networks, and finally how to understand how information/disease/ideas spread over social networks. Last, the student will also be given the opportunity to acquire competency in basic data management and analysis tasks within the R statistical programing environment.

Honors students are expected to demonstrate greater depth of understanding and will do so through an honors project (see section on Honors Requirements in the syllabus for full details).
Grading:
A-F
Class Format:
Lecture
Workload:
This class will consist of regular bi-weekly homework and 3 in-class exams.
Textbooks:
https://bookstores.umn.edu/course-lookup/67265/1183
Instructor Supplied Information Last Updated:
19 October 2017

ClassInfo Links - Spring 2018 Sociology Classes

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